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- W89060870 abstract "A fishery is simulated in which 20 artificial vessels learn through an artificial neural network to make decisions to search for fish among the fishing grounds available. The simulation model keeps several characteristics of a purse seine tuna fishery. Vessels strategies are chosen by the artificial neural network, where the elements considered for decision are: time searching and performance in an area, knowledge of the quality of several fishing grounds, presence of other vessels and trip duration. In particular an analysis of the effects of sharing information between vessels is done. Results show an effect in performance as well as a bias in the fish abundance index estimates calculated from data from the artificial vessels fishing as a group." @default.
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- W89060870 date "2002-09-24" @default.
- W89060870 modified "2023-10-08" @default.
- W89060870 title "Fleet dynamics and information exchange simulation modeling with artificial neural networks" @default.
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